Multiagent systems have become popular over the last few years for building complex, adaptive systems in a distributed, heterogeneous setting. Multiagent systems tend to be more r...
Scott A. DeLoach, Walamitien H. Oyenan, Eric T. Ma...
Abstract Multi-agent simulation is applied to explore how different types of task variety cause workgroups to change their task allocation accordingly. We studied two groups, gener...
This paper presents a data-driven approach for feature selection to address the common problem of dealing with high-dimensional data. This approach is able to handle the real-valu...
The ability to combine tactile, on-the-skin, sensory cues with the kinesthetic ones that widely available force-feedback devices are able to produce is a desirable one, opening th...
Background: Classification microarrays are used for purposes such as identifying strains of bacteria and determining genetic relationships to understand the epidemiology of an inf...